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High performance and adaptive lab report generation in hospital management information systems

机译:医院管理信息系统中高性能和适应性实验室报告生成

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Medical Reports are amongst the most intensive and diverse processes in a Hospital Management Information System. In this paper, we propose an efficient and end-to-end framework for generating investigation test reports. The framework involves a novel template designer for result entry, an structured format for storing result entry template and data into XML suitable for lab reports and Electronic Medical Records. Lastly we introduce a high throughput two-layer report generation, storage and retrieval utility leveraging GridFS of MongoDB instead of traditional FTP based solutions. The system has been deployed at three multi-speciality hospitals. With extensive experimental evaluations, we show that the proposed framework significantly outperforms traditional methods of generating reports. We also demonstrate empirically that a MongoDB GridFS significantly outperforms FTP on several performance metrics.
机译:医疗报告是医院管理信息系统中最密集型和多样化的流程之一。在本文中,我们提出了一个有效和结束的框架,用于生成调查测试报告。该框架涉及用于结果条目的新型模板设计器,将结果输入模板和数据存储为适合实验室报告和电子医疗记录的XML的结构化格式。最后,我们介绍了一个高吞吐量的两层报告生成,存储和检索实用程序利用MongoDB的Gridfs而不是传统的FTP基础解决方案。该系统已在三家多特种医院部署。通过广泛的实验评估,我们表明,拟议的框架显着优于传统的发电报告方法。我们还经验证明MongoDB Gridfs在几种性能指标上显着优于FTP。

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